This paper develops a new family of biased estimators, namely the double k-class, for the parameters of the general linear regression model. We note that James and Stein[7] Stein-rule estimator in the regression context is a member of the family of double k-class. The conditions for the existence of the moments and expressions for the exact and approximate bias, moment matrix, and the risk function of the double k-class estimator are analyzed.
MLA
Ullah, Aman, and Shobha Ullah. “Double k-Class Estimators of Coefficients in Linear Regression.” Econometrica, vol. 46, .no 3, Econometric Society, 1978, pp. 705-722, https://www.jstor.org/stable/1914242
Chicago
Ullah, Aman, and Shobha Ullah. “Double k-Class Estimators of Coefficients in Linear Regression.” Econometrica, 46, .no 3, (Econometric Society: 1978), 705-722. https://www.jstor.org/stable/1914242
APA
Ullah, A., & Ullah, S. (1978). Double k-Class Estimators of Coefficients in Linear Regression. Econometrica, 46(3), 705-722. https://www.jstor.org/stable/1914242
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